Babbel vs DeepLearning.AI: Revenue, Funding & Team Size Compared
Babbel generates $147.8M in revenue; DeepLearning.AI generates $52.8M. Babbel is 2.8× bigger than DeepLearning.AI by revenue. The table below compares Babbel and DeepLearning.AI on funding, valuation, customers, team size and headquarters — every figure GetLatka has verified for each company.
| Company |  BabbelThis company |  DeepLearning.AI |
|---|---|---|
| Revenue | $147.8M | $52.8M |
| Funding raised | $32M | Not disclosed |
| Team size | 1.3K | 480 |
| Founded | 2007 | 2017 |
| HQ | Berlin, Germany | Mountain View, United States |
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Babbel at a glance
Babbel generates $147.8M in revenue with 1.3K employees, headquartered in Berlin, Germany.
- Revenue
- $147.8M
- Funding
- $32M
- Team size
- 1.3K
- Founded
- 2007
Driven by the purpose of creating mutual understanding through language, Babbel has been building digital language learning products for consumers and businesses since 2007. The Babbel app helps people connect and communicate across…
DeepLearning.AI at a glance
DeepLearning.AI generates $52.8M in revenue with 480 employees, headquartered in Mountain View, United States.
- Revenue
- $52.8M
- Team size
- 480
- Founded
- 2017
DeepLearning.AI is making a world-class AI education accessible to people around the globe. DeepLearning.AI was founded by Andrew Ng, a global leader in AI.
Other Babbel alternatives
Babbel competes with more than the companies on this page. Browse the full alternative lists to compare revenue, funding and team size across the category.
Babbel vs DeepLearning.AI: frequently asked questions
Is Babbel or DeepLearning.AI bigger?
Babbel is the bigger company by revenue, at $147.8M against $52.8M for DeepLearning.AI.
How much revenue does Babbel make?
Babbel generates $147.8M in annual revenue with a team of 1.3K.
How much revenue does DeepLearning.AI make?
DeepLearning.AI generates $52.8M in annual revenue with a team of 480.
How much funding has Babbel raised?
Babbel has raised $32M in total funding since it was founded in 2007.